Manager, Data Architecture

Black Diamond Group owns and operates a portfolio of businesses specializing in modular buildings and remote and temporary workforce housing solutions, along with a digital marketplace for business-to-business crew travel management. We create value by providing differentiated solutions. We believe each customer and each project is unique and that we can tailor a combination of products and services that deliver an enhanced outcome. Our Way is to Create a Better Way – this is our challenge, our call to action, our why

We believe that a clear strategic vision, with measurable objectives, along with disciplined accountability and data-based decision-making leads to successful outcomes. When we couple this approach with our values-driven, collaborative, safety conscious culture, we achieve top decile performance, deliver results, and have fun while doing it

We offer careers, not jobs, and we strive for an environment where the best people come to work and feel rewarded for their contributions. We are a team of the best and the brightest in industry, and since our inception, we have led with a people-first approach. We give our employees ample opportunity to pursue their interests and passions and support them as their careers progress.

Black Diamond Group’s AI and Business Automation department has a full-time position for Manager, Data Architecture position.

Reporting to the GM, AI & Business Automation, the

Manager, Data Architecture

leads the hands‑on development and evolution of its enterprise DataHub and data architecture. This is a senior individual‑contributor role combining architecture leadership with direct technical delivery. Approximately 75% of the role will be hands‑on, including data modelling, SQL development, pipeline development, integration design, testing, deployment, troubleshooting, and technical documentation.

Black Diamond Group currently operates an Azure SQL‑based DataHub within the Microsoft technology ecosystem. The successful candidate will strengthen the existing platform, mature the organization’s medallion architecture, deliver trusted enterprise data products, and assess the appropriate future use of Microsoft Fabric and related technologies.

The role will initially operate as the primary internal technical lead for the DataHub. It will work closely with business stakeholders, application owners, analysts, vendors, and implementation partners while establishing standards that can support an expanded data team over time.

The ideal candidate we're looking for is a collaborative data leader who is passionate about building scalable, well‑governed data solutions that enable better reporting, automation, and AI‑driven decision making. This person enjoys balancing strategy with hands‑on problem solving, mentoring a team, and partnering across the business to drive meaningful transformation.

This role is hybrid - in-office with 20% flexibility to work from home.

Responsibilities Data Platform Development

Design, build, test, deploy, and support enterprise data solutions.

Develop and maintain data ingestion, transformation, reconciliation, and publishing processes.

Write and review production SQL, stored procedures, views, data transformations, and validation rules.

Establish reusable patterns for onboarding new data sources.

Improve monitoring, logging, error handling, restartability, testing, and operational support.

Troubleshoot issues across source applications, integrations, the DataHub, semantic models, reports, and downstream solutions.

Reduce reliance on manual extracts, spreadsheet‑based transformations, duplicated logic, and unsupported data processes.

Ensure production solutions are maintained under source control, documented, and supportable by resources other than the original developer.

Data Architecture and Modelling

Lead the implementation and maturation of intake, bronze, silver, and gold data layers.

Define standards for data quality, traceability, reconciliation, security, and promotion between layers.

Design relational, dimensional, canonical, and semantic data models.

Identify authoritative data sources and establish consistent definitions for critical business information.

Define where transformations and business rules should reside across source applications, integration services, the DataHub, Power BI, and downstream solutions.

Maintain architecture diagrams, source‑to‑target mappings, data flows, data models, and technical decision records.

Establish practical approaches for historical data, incremental processing, schema changes, reference data, and data‑quality exceptions.

Support the progressive unification of customer, asset, project and contract, vendor, and employee data.

Enterprise Integration a